Results 41 to 50 of about 265,917 (163)

The establishment and validation of a prediction model for traumatic intracranial injury patients: a reliable nomogram

Frontiers in Neurology, 2023
ObjectiveTraumatic brain injury (TBI) leads to death and disability. This study developed an effective prognostic nomogram for assessing the risk factors for TBI mortality.MethodData were extracted from an online database called “Multiparameter ...
Jia Yi Chen, Jia Yi Chen, Guang Yong Jin, Guang Yong Jin, Long Huang Zeng, Long Huang Zeng, Bu Qing Ma, Bu Qing Ma, Hui Chen, Hui Chen, Nan Yuan Gu, Nan Yuan Gu, Kai Qiu, Kai Qiu, Fu Tian, Fu Tian, Lu Pan, Lu Pan, Wei Hu, Dong Cheng Liang   +19 more
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Relation of Serum Hepcidin Levels and Restless Legs Syndrome in Patients Undergoing Peritoneal Dialysis

Frontiers in Medicine, 2021
Introduction: Restless legs syndrome is a common and severe complication in patients undergoing peritoneal dialysis (PD), which seriously affects the life quality and prognosis of patients undergoing PD.
Yanhong Guo, Yuan Sang, Tian Pu, Xiaodan Li, Yulin Wang, Lu Yu, Yan Liang, Liuwei Wang, Peipei Liu, Lin Tang   +9 more
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plotROC: A Tool for Plotting ROC Curves

Journal of Statistical Software, 2017
Plots of the receiver operating characteristic (ROC) curve are ubiquitous in medical research. Designed to simultaneously display the operating characteristics at every possible value of a continuous diagnostic test, ROC curves are used in oncology to ...
Michael C. Sachs
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An efficient and user-friendly software tool for ordered multi-class receiver operating characteristic analysis based on python

SoftwareX, 2022
Receiver Operating Characteristic (ROC) analysis is a prevalent tool for two-class problems in a wide range of science and engineering areas. The relevant scalar area under the ROC curve (AUC) has been proven to be a robust evaluation index for ...
Shun Liu, Junjie Yang, Xianxian Zeng, Haiying Song, Jian Cen, Weichao Xu   +5 more
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ESTIMATING THE ROC CURVE AND ITS SIGNIFICANCE FOR CLASSIFICATION MODELS’ ASSESSMENT

Quantitative Methods in Economics, 2014
Article presents a ROC (receiver operating characteristic) curve and its application for classification models’ assessment. ROC curve, along with area under the receiver operating characteristic (AUC) is frequently used as a measure for the diagnostics ...
Ryszard Szupiluk, Krzysztof Gajowniczek, Tomasz Ząbkowski   +2 more
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Which Curve Fits Best: Fitting ROC Curve Models to Empirical Credit-Scoring Data

Risks, 2022
In the practice of credit-risk management, the models for receiver operating characteristic (ROC) curves are helpful in describing the shape of an ROC curve, estimating the discriminatory power of a scorecard, and generating ROC curves without underlying
Błażej Kochański
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Smooth ROC curve estimation via Bernstein polynomials.

PLoS ONE, 2021
The receiver operating characteristic (ROC) curve is commonly used to evaluate the accuracy of a diagnostic test for classifying observations into two groups.
Dongliang Wang, Xueya Cai
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Assessment of Sonoelastography as Diagnosis Tool of Inflammatory Myopathies [PDF]

Applied Medical Informatics, 2010
Background: Inflammatory myopathies represent a special group of pathology. Establishing the correct diagnosis in the early phase and a better follow-up are the main objective for improving the life quality of these patients.
Carolina BOTAR-JID, Sorana D. BOLBOACĂ, Laura DAMIAN, Sorin M. DUDEA, Cosmin PANTILIE, Sergiu NEDEVSCHI, Radu BADEA   +6 more
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Image saliency detection based on geodesic‐like and boundary contrast maps

ETRI Journal, 2019
Image saliency detection is the basis of perceptual image processing, which is significant to subsequent image processing methods. Most saliency detection methods can detect only a single object with a high‐contrast background, but they have no effect on
Yingchun Guo, Yi Liu, Runxin Ma
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Robust volcano plot: identification of differential metabolites in the presence of outliers

BMC Bioinformatics, 2018
Background The identification of differential metabolites in metabolomics is still a big challenge and plays a prominent role in metabolomics data analyses.
Nishith Kumar, Md. Aminul Hoque, Masahiro Sugimoto   +2 more
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